BioinformaticsbioRxivPreprint
scSAGA: Single-cell Sampled Gromov Wasserstein Alignment for Scalable and Memory-efficient Integration of Multi-modal Single Cell Data
Swethasree Bhattaram, Sriram P. Chockalingam, Maneesha R. Aluru, Srinivas Aluru
scSAGA improves multimodal single-cell data integration by preserving geometry and scaling efficiently, outperforming existing methods on various datasets.